Sure thing, let’s break it down. Dynamic pricing is already a data juggernaut—every click, click‑through, purchase tells a story. Vision models can read the visual clues that precede a price drop: ad layouts, influencer posts, even in‑store signage. By flagging patterns in those images and aligning them with historical sales spikes, the system can flag when a discount wave is likely brewing. Think of it as a visual early‑warning system that nudges the pricing engine a few minutes ahead of the rush. The trick is to keep the training data fresh and the models tuned to the rapid tempo of retail shifts.